Research Article

Simultaneous Quantification of 14 Compounds in Achillea millefolium by GC-MS Analysis and Near-Infrared Spectroscopy Combined with Multivariate Techniques

Table 3

Comparative statistics between 14 compounds represented by 14 regression models (SCM) and 14 compounds represented one regression model (MCM).

Compoundsn1BiasSEESEPConsistency3R2InterceptSlope
Cset2VsetCsetVsetCsetVsetCsetVsetCsetVset
SCMMCMSCMMCMSCMMCMSCMMCMSCMMCMSCMMCMSCMMCMSCMMCMSCMMCMSCMMCMSCMMCM

C152/2600−0.01−0.030.230.280.230.2998.994.50.850.760.850.740.250.380.280.420.720.580.690.57
C252/2600−0.02−0.020.140.180.160.1990.2393.330.930.880.910.860.070.120.110.170.860.770.810.71
C352/26000.01−0.010.110.20.160.2272.0390.950.980.920.960.910.030.1−0.010.110.950.850.990.86
C452/260000.020.520.610.650.8280.0774.760.980.980.980.960.090.130.120.140.970.960.960.94
C552/2600−0.23−0.251.071.291.161.3792.9194.070.850.780.830.751.211.741.692.230.720.60.670.55
C652/26000.050.040.090.460.210.484095.910.990.810.960.80.010.410.020.390.990.660.940.64
C752/2600−0.11−0.10.480.70.620.7377.5396.370.90.780.840.760.380.820.680.970.820.60.720.58
C852/2600−0.12−0.070.470.560.580.7580.8875.390.980.970.970.950.090.130.240.220.960.950.950.94
C952/2600−0.15−0.170.150.820.660.8323.0999.020.990.730.850.730.051.310.591.580.980.530.840.5
C1052/2600−0.12−0.120.330.450.370.4788.8594.880.920.840.90.830.330.620.640.860.850.710.760.66
C1152/2600−0.08−0.10.090.360.320.3728.5798.910.990.770.840.770.030.50.290.660.970.590.830.54
C1252/2600−0.07−0.10.440.540.470.5793.2195.830.850.770.830.750.510.770.620.940.730.590.70.55
C1352/2600−0.17−0.130.690.850.820.984.4594.320.860.790.810.770.731.11.311.590.750.620.610.5
C1452/2600−0.15−0.090.070.590.480.6315.3794.4710.850.910.840.010.570.370.6210.730.890.74

Mean00−0.08−0.080.350.560.490.6269.0192.340.930.830.890.820.270.620.50.780.880.70.810.66
SD000.080.080.290.290.280.3229.017.60.060.080.060.080.350.490.490.640.110.140.120.15
SE000.020.020.080.080.080.087.752.030.020.020.020.020.090.130.130.170.030.040.030.04

Mean paired differences0−0.22−0.12−23.330.10.07−0.35−0.280.180.15
T−0.37−4.29−6.72−2.725.17.12−4.07−4.145.15.7
Sig. (2-tailed)0.7205050.024050505050505

1Number of samples in the calibration set/number of samples in the validation set; 2a test of variances cannot be performed for c-set bias because the sum of weights is zero, 3consistency = (SEE/SEP)100; 4the mean difference is significant at the 0.05 level; 5the mean difference is significant at the 0.01 level.